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Senior Data DevOps Engineer

EPAM Systems

Role overview

Summary

This role focuses on deploying and maintaining Terraform and Azure DevOps pipeline solutions at EPAM. You will work with various stakeholders and architecture teams to ensure alignment with design standards while optimizing platform activities and processes.

Qualifications

  • 3+ years of practical experience with Terraform and Azure DevOps pipelines for infrastructure management and automation.
  • Proficiency in Azure data solutions including Data Lake Storage, Databricks, ADF, and Synapse Analytics.
  • Effective communication skills and the capability to interact with stakeholders at various levels.
  • Experience in collaborating with Architecture teams to align with design standards.
  • Skills in troubleshooting and mitigating issues related to data workloads and platform infrastructure.

Responsibilities

  • Deploy and maintain sophisticated Terraform and Azure DevOps pipeline solutions across various subscriptions and environments.
  • Communicate effectively with diverse stakeholders to collect requirements and provide updates on platform activities.
  • Apply Azure data solutions including Data Lake Storage, Databricks, ADF, and Synapse Analytics.
  • Discover avenues for optimizing platform activities and processes, and initiate automation methods to streamline operations.

Key facts

Hard skills

Other skills

  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.
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Job description

Advance your career as a Senior Data DevOps Engineer at EPAM! In this important role, you'll deploy and maintain sophisticated Terraform and Azure DevOps pipeline solutions spanning multiple environments. If you possess practical experience with Terraform and Azure DevOps and have a talent for communication, optimization, and automation, we are eager to meet you. Responsibilities Deploy and maintain sophisticated Terraform and Azure DevOps pipeline solutions across various subscriptions and environments Communicate effectively with diverse stakeholders to collect requirements and provide updates on platform activities Apply Azure data solutions including Data Lake Storage, Databricks, ADF, and Synapse Analytics Work alongside Architecture teams to ensure the platform's architecture and design standards are in line with support model needs Discover avenues for optimizing platform activities and processes, and initiate automation methods to streamline operations Requirements 3+ years of practical experience with Terraform and Azure DevOps pipelines for infrastructure management and automation Proficiency in Azure data solutions including Data Lake Storage, Databricks, ADF, and Synapse Analytics Effective communication skills and the capability to interact with stakeholders at various levels Experience in collaborating with Architecture teams to align with design standards Skills in troubleshooting and mitigating issues related to data workloads and platform infrastructure Technologies Terraform Azure DevOps Azure Data Lake Storage Azure Databricks Azure Data Factory (ADF) Azure Synapse Analytics

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